309.750.93 Applied Research Methods for Health Policy and Management

Prerequisite:

140.611-614, 140.620

Description:

Helps Tsinghua DrPH cohort students synthesize methods content to conduct a valid statistical analysis applied to a Chinese-relevant data set or topic area. Students develop advanced skills in modeling and methods for conducting health policy, healthcare management, and health services research analysis.

Learning Objectives:

Upon successfully completing this course, students will be able to:

1. Frame a scientific question suitable for empirical research and hypothesis testing
2. Distinguish the differences among continuous, binary, count, or time-to-event response measures
3. Choose a specific linear, logistic, log-linear, or survival regression model appropriate to address a scientific question and correctly interpret the meaning of its parameters
4. Describe how longitudinal data differ from cross-sectional data and why special regression methods are sometimes needed for their analysis
5. Summarize in a table, the results of linear, logistic, log-linear, and survival regressions and write a description of the statistical methods, results, and main findings for a scientific report
6. Perform data management, including input, editing, and merging of datasets, necessary to analyze data in STATA or SAS
7. Complete a data analysis project, including data analysis and a written summary in the form of a scientific paper

Methods of Assessment:

Problem sets (30%), statistical critique (30%) and completion of a data analysis project (40%)

Enrollment Restriction:

Restricted to students in JHU-Tsinghua DrPH cohort only

Instructor Consent:

Consent required for all students

Consent Note:

For consent, contact:

jholzer1@jhu.edu

Special Comments:

Offered in Beijing.